Vehicle path optimization with time window and simultaneous delivery and pickup under fuzzy demand

Lei Zhou; Chenyang Zhang; Fachao Li

doi:10.1117/12.2658644

22 December 2022 Vehicle path optimization with time window and simultaneous delivery and pickup under fuzzy demand

Lei Zhou, Chenyang Zhang, Fachao Li

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 1246007 (2022) https://doi.org/10.1117/12.2658644
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

In order to improve the vehicle loading rate in the logistics and distribution process, this paper studies the vehicle routing problem with time window and simultaneous delivery and pickup under fuzzy demand. Triangle fuzzy numbers are introduced to describe the uncertainty of customer demand and construct a multi-objective function model with the goal of minimum total cost. Genetic algorithm (GA) is used to solve this problem. Compared with the simple delivery scheme and simple pickup scheme, the results show that the designed model and algorithm optimize the vehicle path and significantly reduce the number of vehicles, improve the average vehicle load rate and reduce the enterprise cost.

Citation Download Citation

Lei Zhou, Chenyang Zhang, and Fachao Li "Vehicle path optimization with time window and simultaneous delivery and pickup under fuzzy demand", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 1246007 (22 December 2022); https://doi.org/10.1117/12.2658644

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